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Evaluation of the energetic contribution of an ionic network to beta‐sheet stability
Author(s) -
Lassila Kirsten S.,
Datta Deepshikha,
Mayo Stephen L.
Publication year - 2002
Publication title -
protein science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.353
H-Index - 175
eISSN - 1469-896X
pISSN - 0961-8368
DOI - 10.1110/ps.23502
Subject(s) - ionic bonding , beta sheet , ion , beta (programming language) , chemistry , stability (learning theory) , chemical physics , crystallography , physics , protein structure , computer science , biochemistry , organic chemistry , machine learning , programming language
We have evaluated the interaction energy of a three‐residue ionic network constructed on the β‐sheet surface of protein G using double mutant cycles. Although the two individual ion pairs were each stabilizing by ∼0.6 kcal/mol, the excess gain in stability for the triad was small (0.06 kcal/mol).